Navigating AI in Academic Libraries: Implications for Academic Research


Book Description

Today’s research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry.




Navigating AI in Academic Libraries


Book Description

Today's research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. Through interdisciplinary perspectives and evidence-based practices, Navigating AI in Academic Libraries: Implications for Academic Research fosters collaboration and empowers scholars to leverage AI technologies responsibly and effectively. By offering insights into effective instructional strategies and the impact of AI on traditional research methods, the book provides a roadmap for scholars to thrive in an increasingly AI-driven academic landscape. With its holistic approach and practical guidance, this volume emerges as an indispensable resource for scholars navigating the complexities of AI integration and shaping the future of scholarly research.




Navigating and Managing an Academic Library


Book Description

This new series presents and discusses new and innovative approaches used by professionals in library and information practice worldwide. The authors are chosen to provide critical analysis of issues and to present solutions to selected challenges in libraries and related fields, including information management and industry, and education of information professionals. The book series strives to present practical solutions that can be applied in institutions worldwide. It thereby contributes significantly to improvements in the field.




Artificial Intelligence and Machine Learning in Libraries


Book Description

This issue of Library Technology Reports argues that the near future of library work will be enormously impacted and perhaps forever changed as a result of artificial intelligence (AI) and machine learning systems becoming commonplace.




Examining Information Literacy in Academic Libraries


Book Description

In the 21st century, information literacy emerges as the cornerstone of educational development. Despite its paramount significance, a stark reality persists — students often traverse the corridors of academia without acquiring essential information literacy skills. This deficiency is exacerbated by a shortage of faculty training, leaving academic libraries to shoulder the responsibility of cultivating information-savvy individuals. Examining Information Literacy in Academic Libraries delves into the core challenges and solutions surrounding this critical educational imperative. This book illuminates the role of academic libraries as bastions of information literacy instruction. The capacity of students and information consumers to seek, evaluate, and utilize information is paramount for informed decision-making ethically and legally. Regardless of whether or not students were brought up in the digital age, many lack the fundamental information literacy skills required for higher education. This deficiency manifests in academic malpractices, such as plagiarism, which compromise the integrity of educational institutions. Moreover, this imperative work contends that the Fourth Industrial Revolution (4IR) is not a distant concept but a present reality. The recent global upheaval caused by the Coronavirus pandemic accelerated the adoption of new technologies, necessitating a swift reassessment of our collective ability to navigate this everchanging digital and information landscape. Focusing on media literacy, data literacy, and digital literacy, with information literacy as the overarching domain, this book serves as a beacon for educators, librarians, and policymakers.




Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights


Book Description

As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.




Artificial Intelligence


Book Description

The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.




Stories of Open:


Book Description

Peer review processes in scholarly publishing are often hidden behind layers of opacity, leaving authors--and even reviewers--with many questions about the process. Open peer review is one way to improve the practice. It can shorten the time between manuscript submission and publication, hold reviewers accountable for their work, make more apparent the hidden labor of reviewing and editing, allow for collaborative discourse between authors and reviewers, and more. Even with these benefits, open peer review is not widely accepted or understood. Few academic librarians have experienced it, and each implementation can be different; anything open is highly nuanced and contextual. Ultimately, when we discuss "open," we must discuss the stories around it. What is the aim? What are the pitfalls? What are the gains? And are we trying to simply replicate a broken system instead of reinventing it? Stories of Open: Opening Peer Review through Narrative Inquiry examines the methods and processes of peer review, as well as the stories of those who have been through it. Eleven chapters are divided into three parts: * Part 1: Orientation. This section offers a conceptual frame for the book, providing details about narrative inquiry as a methodology and the author's worldview and research approach. * Part 2: The Stories (The Story Middle). What is the standard experience of peer review in our field? This section shares stories told from a variety of viewpoints and roles--author, editor, and referee--and explores how these roles interact, the tension between them, and the duality and sometimes multiplicity of roles experienced by any one individual. * Part 3: Coda. These four chapters tie the stories to the idea of open and look in detail at the research method, as well as imagine how we might move forward--reflecting on our past stories to create future ones. When we open ourselves to others' experiences, we reflect on our own. Stories of Open offers questions for reflection at the end of many chapters in order to assist in the continued exploration of your own experiences with peer review, and encourages the use of these reflections in creating new and improved peer review methods. This book is also available as an open access edition at https://bit.ly/ACRLStoriesofOpen




Law Librarianship in the Age of AI


Book Description

Written by leading practitioners and visionaries like Robert Ambrogi, this groundbreaking survey of current practices and future trends offers an incisive examination of the evolving roles for law librarians.




Applications of Artificial Intelligence in Libraries


Book Description

With the constant evolution of technology, libraries must grapple with the urgent need to adapt or face obsolescence. The integration of artificial intelligence (AI) into library operations presents many new opportunities as well as a complex array of challenges. The traditional roles of libraries, as pillars of knowledge and information, are being reshaped by AI, compelling institutions to reassess their relevance in an ever-evolving digital landscape. The urgency of this intersection between libraries and AI is emphasized by the necessity to revolutionize outdated systems, and it is in this dynamic context that Applications of Artificial Intelligence in Libraries emerges as an essential guide. The book addresses the ethical implications of AI-enabled libraries, offering strategies for navigating privacy concerns and potential challenges in the implementation of AI. It serves as a strategic guide for evaluating the impact and effectiveness of AI initiatives, developing policies and practices centered around AI, and training librarians for the inevitable integration of AI into their roles. By fostering collaboration between librarians, researchers, and AI experts, this book aims to empower professionals to navigate the transformative journey that AI is ushering in for libraries, fostering innovation, collaboration, and the creation of more effective and user-centric library services.




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